I came across a paper where they mentioned 1-D correlation between two images without any explanation for it. The height and width of the output was same as the input image.
Paper: https://drive.google.com/file/d/1ZRlj43zLqzvldATV20HBvClTXgeqvu09/view?usp=sharing
Technically , discrete 2D images are separable hence you can use them as either column or row vector and process as 1D rather than 2D ...
Technically , discrete 2D images are separable hence you can use them as either column or row vector and process as 1D rather than 2D ...
As Aparna Sathya Murthy said, you can convert each image to a column or row vector, i.e 1D data.
convert 2D image into 1D image perform correlation as usual.
Example Matlab code:
X = imread('imagename'); %2D image
Y = X(:,:); % 2D image converted into 1D image
Z = corr(Y,Y1); %find correlation between 1D images
Dr R Senthilkumar
For the column vector, the second step may be:
Y = X(:);
Thank you Dr R Senthilkumar
Also, for the row vector, we can use the transpose of the column vector;
Y = X(:)';
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